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Medhat H. M. Elsayed
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2020 – today
- 2024
- [j8]Han Zhang
, Hao Zhou
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning Enabled UE-Centric Traffic Steering. IEEE Trans. Cogn. Commun. Netw. 10(2): 689-705 (2024) - [c23]Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. ICC Workshops 2024: 1-6 - [c22]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing. ICC 2024: 4269-4274 - [c21]Han Zhang, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Federated Learning with Dual Attention for Robust Modulation Classification under Attacks. ICC 2024: 5238-5243 - [i23]Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Transformer-Based Wireless Traffic Prediction and Network Optimization in O-RAN. CoRR abs/2403.10808 (2024) - [i22]Pedro Enrique Iturria-Rivera, Raimundas Gaigalas, Medhat H. M. Elsayed, Majid Bavand, Yigit Ozcan, Melike Erol-Kantarci:
Extended Reality (XR) Codec Adaptation in 5G using Multi-Agent Reinforcement Learning with Attention Action Selection. CoRR abs/2405.15872 (2024) - [i21]Md Arafat Habib, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
LLM-Based Intent Processing and Network Optimization Using Attention-Based Hierarchical Reinforcement Learning. CoRR abs/2406.06059 (2024) - [i20]Shavbo Salehi, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Self-Play Ensemble Q-learning enabled Resource Allocation for Network Slicing. CoRR abs/2408.10376 (2024) - [i19]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Yigit Ozcan, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Melike Erol-Kantarci:
Machine Learning-enabled Traffic Steering in O-RAN: A Case Study on Hierarchical Learning Approach. CoRR abs/2409.20391 (2024) - [i18]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Smart Jamming Attack and Mitigation on Deep Transfer Reinforcement Learning Enabled Resource Allocation for Network Slicing. CoRR abs/2410.05153 (2024) - 2023
- [j7]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo
The Internet of Senses: Building on Semantic Communications and Edge Intelligence. IEEE Netw. 37(3): 68-75 (2023) - [c20]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CCNC 2023: 164-169 - [c19]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Distributed Attacks over Federated Reinforcement Learning-Enabled Cell Sleep Control. GLOBECOM (Workshops) 2023: 485-490 - [c18]Shavbo Salehi, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Policy Poisoning Attacks on Transfer Learning Enabled Resource Allocation for Network Slicing. GLOBECOM 2023: 6364-6370 - [c17]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Yigit Ozcan, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Split Learning for Sensing-Aided Single and Multi-Level Beam Selection in Multi-Vendor RAN. GLOBECOM 2023: 6652-6657 - [c16]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. ICC 2023: 100-105 - [c15]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. ICC 2023: 5285-5290 - [i17]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning. CoRR abs/2301.05316 (2023) - [i16]Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity. CoRR abs/2301.05391 (2023) - [i15]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning Based Traffic Steering in Multi-RAT 5G Deployments. CoRR abs/2301.07818 (2023) - [i14]Ycaro Dantas, Pedro Enrique Iturria-Rivera, Hao Zhou, Majid Bavand, Medhat H. M. Elsayed, Raimundas Gaigalas, Melike Erol-Kantarci:
Beam Selection for Energy-Efficient mmWave Network Using Advantage Actor Critic Learning. CoRR abs/2302.00156 (2023) - [i13]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering. CoRR abs/2304.11282 (2023) - [i12]Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Cooperative Hierarchical Deep Reinforcement Learning based Joint Sleep, Power, and RIS Control for Energy-Efficient HetNet. CoRR abs/2304.13226 (2023) - [i11]Md Arafat Habib, Hao Zhou, Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Intent-driven Intelligent Control and Orchestration in O-RAN Via Hierarchical Reinforcement Learning. CoRR abs/2307.02754 (2023) - [i10]Han Zhang, Hao Zhou, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Yigit Ozcan, Melike Erol-Kantarci:
Distributed Attacks over Federated Reinforcement Learning-enabled Cell Sleep Control. CoRR abs/2311.15894 (2023) - 2022
- [c14]Hao Zhou, Long Kong, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Hierarchical Reinforcement Learning for RIS-Assisted Energy-Efficient RAN. GLOBECOM 2022: 3326-3331 - [c13]Pedro Enrique Iturria-Rivera, Medhat H. M. Elsayed, Majid Bavand, Raimundas Gaigalas, Steve Furr, Melike Erol-Kantarci:
Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity. GLOBECOM 2022: 6553-6558 - [i9]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci, Lajos Hanzo:
The Internet of Senses: Building on Semantic Communications and Edge Intelligence. CoRR abs/2212.10748 (2022) - 2021
- [j6]Roghayeh Joda
Carrier Aggregation With Optimized UE Power Consumption in 5G. IEEE Netw. Lett. 3(2): 61-65 (2021) - [j5]Kevin Shimotakahara
Mobile Communications-Enabled Smart Grid Cosimulator System Design. IEEE Syst. J. 15(2): 2677-2686 (2021) - [j4]Medhat H. M. Elsayed
Transfer Reinforcement Learning for 5G New Radio mmWave Networks. IEEE Trans. Wirel. Commun. 20(5): 2838-2849 (2021) - [c12]Medhat H. M. Elsayed, Roghayeh Joda, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci:
Reinforcement Learning Based Energy-Efficient Component Carrier Activation-Deactivation in 5G. GLOBECOM 2021: 1-6 - [c11]Roghayeh Joda, Medhat H. M. Elsayed, Hatem Abou-Zeid, Ramy Atawia, Akram Bin Sediq, Gary Boudreau, Melike Erol-Kantarci:
QoS-Aware Joint Component Carrier Selection and Resource Allocation for Carrier Aggregation in 5G. ICC 2021: 1-6 - [c10]Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci:
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. PIMRC 2021: 1179-1184 - [i8]Medhat H. M. Elsayed, Melike Erol-Kantarci:
AI-enabled Future Wireless Networks: Challenges, Opportunities and Open Issues. CoRR abs/2103.04536 (2021) - [i7]Medhat H. M. Elsayed, Melike Erol-Kantarci:
Radio Resource and Beam Management in 5G mmWave Using Clustering and Deep Reinforcement Learning. CoRR abs/2103.05047 (2021) - [i6]Medhat H. M. Elsayed, Kevin Shimotakahara, Melike Erol-Kantarci:
Machine Learning-based Inter-Beam Inter-Cell Interference Mitigation in mmWave. CoRR abs/2103.05061 (2021) - [i5]Hao Zhou, Medhat H. M. Elsayed, Melike Erol-Kantarci:
RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning. CoRR abs/2107.01018 (2021) - 2020
- [j3]Medhat H. M. Elsayed
Low-Latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach. IEEE Trans. Smart Grid 11(2): 1091-1099 (2020) - [c9]Medhat H. M. Elsayed, Melike Erol-Kantarci:
Radio Resource and Beam Management in 5G mmWave Using Clustering and Deep Reinforcement Learning. GLOBECOM 2020: 1-6 - [c8]Medhat H. M. Elsayed, Kevin Shimotakahara, Melike Erol-Kantarci:
Machine Learning-based Inter-Beam Inter-Cell Interference Mitigation in mmWave. ICC 2020: 1-6 - [i4]Medhat H. M. Elsayed, Melike Erol-Kantarci, Halim Yanikomeroglu:
Transfer Reinforcement Learning for 5G-NR mm-Wave Networks. CoRR abs/2012.04840 (2020)
2010 – 2019
- 2019
- [j2]Kevin Shimotakahara, Medhat H. M. Elsayed, Karin Hinzer, Melike Erol-Kantarci
High-Reliability Multi-Agent Q-Learning-Based Scheduling for D2D Microgrid Communications. IEEE Access 7: 74412-74421 (2019) - [j1]Medhat H. M. Elsayed
AI-Enabled Future Wireless Networks: Challenges, Opportunities, and Open Issues. IEEE Veh. Technol. Mag. 14(3): 70-77 (2019) - [c7]Medhat H. M. Elsayed, Melike Erol-Kantarci:
AI-Enabled Radio Resource Allocation in 5G for URLLC and eMBB Users. 5G World Forum 2019: 590-595 - [c6]Kevin Shimotakahara, Medhat H. M. Elsayed, Karin Hinzer, Melike Erol-Kantarci:
Integrated Power and Device-to-Device (D2D) Communications Simulator for Future Power Systems. GlobalSIP 2019: 1-5 - [c5]Medhat H. M. Elsayed, Melike Erol-Kantarci:
Reinforcement Learning-Based Joint Power and Resource Allocation for URLLC in 5G. GLOBECOM 2019: 1-6 - 2018
- [c4]Medhat H. M. Elsayed, Melike Erol-Kantarci:
Learning-Based Resource Allocation for Data-Intensive and Immersive Tactile Applications. 5G World Forum 2018: 278-283 - [c3]Medhat H. M. Elsayed, Melike Erol-Kantarci:
Deep Reinforcement Learning for Reducing Latency in Mission Critical Services. GLOBECOM 2018: 1-6 - [c2]Medhat H. M. Elsayed, Melike Erol-Kantarci:
Deep Q-Learning for Low-Latency Tactile Applications: Microgrid Communications. SmartGridComm 2018: 1-6 - 2016
- [i3]Alaa Awad, Medhat H. M. Elsayed, Amr Mohamed:
Encoding Distortion Modeling For DWT-Based Wireless EEG Monitoring System. CoRR abs/1602.04974 (2016) - [i2]Medhat H. M. Elsayed, Amr Mohamed:
Distributed interference management using Q-Learning in Cognitive Femtocell networks: New USRP-based Implementation. CoRR abs/1604.04699 (2016) - 2015
- [c1]Medhat H. M. Elsayed, Amr Mohamed
Distributed interference management using Q-Learning in cognitive femtocell networks: New USRP-based implementation. NTMS 2015: 1-5 - 2014
- [i1]Medhat H. M. Elsayed, Amr A. El-Sherif, Amr Mohamed:
DDSAT: Distributed Dynamic Spectrum Access Protocol Implementation Using GNURadio and USRP. CoRR abs/1412.4999 (2014)
Coauthor Index
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last updated on 2024-11-19 20:43 CET by the dblp team
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